Course Name Code Semester T+U Hours Credit ECTS
Automatic Control EEM 308 6 3 + 0 3 5
Precondition Courses Signals and Systems Course
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Dr.Öğr.Üyesi BURHAN BARAKLI
Course Lecturers Prof.Dr. AYHAN ÖZDEMİR, Dr.Öğr.Üyesi BURHAN BARAKLI,
Course Assistants
Course Category Field Proper Education
Course Objective The course aims at mathematical modeling and analysis of physical systems. Design of P, PI, PID controllers according to specified performance criteria and frequency response analysis
Course Content Modeling, transient, steady-state and stability analysis, dynamic controllers, design and frequency analysis of system response
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Ability of understanding physical systems modeling Lecture, Question-Answer, Discussion, Drilland Practice, Demonstration, Simulation, Self Study, Problem Solving, Testing, Homework,
2 Ability of analyzing Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
3 Ability of designing of controllers according to specified performance criteria Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, Testing, Homework,
4 Ability of analyzing systems frequency response Lecture, Question-Answer, Discussion, Drilland Practice, Self Study, Problem Solving, Testing, Homework,
Week Course Topics Preliminary Preparation
1 Introduction to control engineering and general concepts
2 Laplace transform and physical systems modeling
3 Physical systems modeling
4 Block diagram reduction and Mason Gain formula
5 Transient response analysis of first and second order systems
6 Transient response criteria of second order systems
7 Continuous state response and error analysis
8 Stability and Routh-Hurwitz criteria
9 Drawing the root-locus
10 Synthesis in Root-locus
11 P, PI, PID controllers and transfer functions
12 Obtaining controller design equations and design
13 Nyquist diagram and stability
14 Drawing the Bode diagram and phase-margin, gain-margin
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems. X
2 Ability to identify formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose. X
3 Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues, according to the nature of the design.) X
4 Ability to devise, select, and use modem techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5 Ability to design and conduct experiments, gather data analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
6 Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7 Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8 Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9 Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10 Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11 Knowledge about the global and social effects of engineering practice on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.
Evaluation System
Semester Studies Contribution Rate
1. Kısa Sınav 5
2. Kısa Sınav 5
3. Kısa Sınav 5
1. Ara Sınav 85
Total 100
1. Yıl İçinin Başarıya 40
1. Final 60
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 1 1
Quiz 1 2 2
Assignment 1 4 4
Final examination 1 2 2
Total Workload 121
Total Workload / 25 (Hours) 4.84
dersAKTSKredisi 5